4 papers
DisasterInsight: A Multimodal Benchmark for Function-Aware and Grounded Disaster Assessment
Sara Tehrani, Yonghao Xu, Leif Haglund +2
Timely interpretation of satellite imagery is critical for disaster response, yet existing vision-language benchmarks for remote sensing largely focus on coarse labels and image-le…
VLM2GeoVec: Toward Universal Multimodal Embeddings for Remote Sensing
Emanuel Sánchez Aimar, Gulnaz Zhambulova, Fahad Shahbaz Khan +2
Satellite imagery differs fundamentally from natural images: its aerial viewpoint, very high resolution, diverse scale variations, and abundance of small objects demand both region…
Comparing Next-Day Wildfire Predictability of MODIS and VIIRS Satellite Data
Justus Karlsson, Yonghao Xu, Amanda Berg +1
Multiple studies have performed next-day fire prediction using satellite imagery. Two main satellites are used to detect wildfires: MODIS and VIIRS. Both satellites provide fire ma…
On the Adversarial Vulnerabilities of Transfer Learning in Remote Sensing
Tao Bai, Xingjian Tian, Yonghao Xu +1
The use of pretrained models from general computer vision tasks is widespread in remote sensing, significantly reducing training costs and improving performance. However, this prac…